I have an excel csv with a date/time column and a value associated with that date/time. I\'m trying to write a script that will go through this format (see below), and find 1) t
A solution using the plyr package, which I find very elegant for problems like this.
dat.str <- ' V1 V2 V3
1 5/1/2012 3:00 1
2 5/1/2012 6:00 2
3 5/1/2012 9:00 5
4 5/1/2012 12:00 3
5 5/1/2012 15:00 6
6 5/1/2012 18:00 2
7 5/1/2012 21:00 1
8 5/2/2012 0:00 2
9 5/2/2012 3:00 3
10 5/2/2012 6:00 6
11 5/2/2012 9:00 4
12 5/2/2012 12:00 6
13 5/2/2012 15:00 7
14 5/2/2012 18:00 9
15 5/2/2012 21:00 1'
dat <- read.table(textConnection(dat.str), row.names=1, header=TRUE)
library(plyr)
ddply(dat, .(V1), function(x){
x[which.max(x$V3), ]
})